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ACL
2007
15 years 3 months ago
A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation
Recent studies suggest that machine learning can be applied to develop good automatic evaluation metrics for machine translated sentences. This paper further analyzes aspects of l...
Joshua Albrecht, Rebecca Hwa
172
Voted
EWRL
2008
15 years 4 months ago
Bayesian Reward Filtering
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
AIIA
2001
Springer
15 years 6 months ago
A New Machine Learning Approach to Fingerprint Classification
We present new fingerprint classification algorithms based on two machine learning approaches: support vector machines (SVMs), and recursive neural networks (RNNs). RNNs are traine...
Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil...
125
Voted
ICALT
2006
IEEE
15 years 8 months ago
Using Ontologies to Model and Execute IMS Learning Design Documents
This paper briefly describes how ontologies can be used to model, validate and execute IMS Learning Design. The main contribution relies on incorporate the implicit knowledge foun...
Ricardo R. Amorim, Manuel Lama, Eduardo Sán...
140
Voted
ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
15 years 8 months ago
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...